High-throughput experimentation meets artificial intelligence: a new pathway to catalyst discovery-Reference-Cited by-同舟云学术

High-throughput experimentation meets artificial intelligence: a new pathway to catalyst discovery

Published:2020 Issue:20 Volume:22 Page:11174-11196
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

McCullough Katherine¹²³⁴^ORCID,Williams Travis¹²³⁴^ORCID,Mingle Kathleen¹²³⁴,Jamshidi Pooyan¹²³⁴^ORCID,Lauterbach Jochen¹²³⁴^ORCID

Affiliation:

1. College of Engineering and Computing

2. University of South Carolina

3. Columbia

4. USA

Abstract

High throughput experimentation in heterogeneous catalysis provides an efficient solution to the generation of large datasets under reproducible conditions.

Funder

Division of Graduate Education

Advanced Research Projects Agency - Energy

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2020/CP/D0CP00972E

Reference188 articles.

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2. The ?multiple-sample concept? in materials research: Synthesis, compositional analysis and testing of entire multicomponent systems

3. The design and construction of a multichannel microreactor for catalyst evaluation

4. Early Years of High-Throughput Experimentation and Combinatorial Approaches in Catalysis and Materials Science

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